Description
In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.
Learning Outcomes:
• determine what kind of deep learning method to use in which situation
• know how to build a deep learning model to solve a real problem
• master the process of creating a deep learning pipeline
• apply knowledge of deep learning to improve models using real data
• demonstrate ability to present and communicate outcomes of deep learning projects
